David Yowe

1.8k total citations
19 papers, 1.3k citations indexed

About

David Yowe is a scholar working on Molecular Biology, Cell Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, David Yowe has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in David Yowe's work include Epigenetics and DNA Methylation (4 papers), melanin and skin pigmentation (3 papers) and Regulation of Appetite and Obesity (3 papers). David Yowe is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), melanin and skin pigmentation (3 papers) and Regulation of Appetite and Obesity (3 papers). David Yowe collaborates with scholars based in United States, Switzerland and Australia. David Yowe's co-authors include Bruce N. Ames, Carol M. Wehr, James C. Bartholomew, Tory M. Hagen, Kan Yu, Thomas M. Wilkie, Serguei Popov, David M. Berman, Isabelle Davignon and Weizhong Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

David Yowe

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Yowe United States 15 864 214 164 130 127 19 1.3k
S K Moule United Kingdom 16 1.2k 1.3× 334 1.6× 382 2.3× 94 0.7× 77 0.6× 27 1.7k
Bernard Rothhut France 27 1.2k 1.4× 167 0.8× 119 0.7× 96 0.7× 111 0.9× 53 1.8k
Clinton A. Taylor United States 15 494 0.6× 129 0.6× 374 2.3× 89 0.7× 53 0.4× 30 1.4k
Hidenori Matsuzaki Japan 13 1.4k 1.6× 295 1.4× 139 0.8× 113 0.9× 57 0.4× 19 1.8k
Judith A. Creba United Kingdom 13 789 0.9× 203 0.9× 297 1.8× 235 1.8× 122 1.0× 23 1.4k
Chantal Filloux France 21 1.3k 1.5× 330 1.5× 339 2.1× 187 1.4× 80 0.6× 25 2.2k
Tzvetanka Bondeva Germany 22 924 1.1× 180 0.8× 111 0.7× 121 0.9× 47 0.4× 36 1.6k
Christopher M. Schonhoff United States 17 999 1.2× 484 2.3× 98 0.6× 158 1.2× 42 0.3× 32 1.6k
Kristin Breitschopf Germany 17 1.5k 1.7× 520 2.4× 96 0.6× 80 0.6× 65 0.5× 18 2.1k
Celia M. Pombo Spain 20 980 1.1× 138 0.6× 87 0.5× 80 0.6× 51 0.4× 27 1.6k

Countries citing papers authored by David Yowe

Since Specialization
Citations

This map shows the geographic impact of David Yowe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Yowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yowe more than expected).

Fields of papers citing papers by David Yowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Yowe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Yowe. The network helps show where David Yowe may publish in the future.

Co-authorship network of co-authors of David Yowe

This figure shows the co-authorship network connecting the top 25 collaborators of David Yowe. A scholar is included among the top collaborators of David Yowe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Yowe. David Yowe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Diener, John L., David Yowe, Shari L. Caplan, et al.. (2021). FGF21 Normalizes Plasma Glucose in Mouse Models of Type 1 Diabetes and Insulin Receptor Dysfunction. Endocrinology. 162(9). 8 indexed citations
2.
Rader, Daniel J., Eleftheria Maratos–Flier, Yi-Fang Li, et al.. (2021). LLF580, an FGF21 Analog, Reduces Triglycerides and Hepatic Fat in Obese Adults With Modest Hypertriglyceridemia. The Journal of Clinical Endocrinology & Metabolism. 107(1). e57–e70. 49 indexed citations
3.
Pearlstein, Robert A., Qiying Hu, Jing Zhou, et al.. (2010). New hypotheses about the structure–function of proprotein convertase subtilisin/kexin type 9: Analysis of the epidermal growth factor‐like repeat A docking site using WaterMap. Proteins Structure Function and Bioinformatics. 78(12). 2571–2586. 58 indexed citations
4.
Li­, ­Jun, Christine Tumanut, Julie-Ann Gavigan, et al.. (2007). Secreted PCSK9 promotes LDL receptor degradation independently of proteolytic activity. Biochemical Journal. 406(2). 203–207. 128 indexed citations
5.
Vos, Tricia J., Suresh K. Balani, Christopher Blackburn, et al.. (2006). Identification and structure–activity relationships of a new series of Melanocortin-4 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 16(8). 2302–2305. 11 indexed citations
6.
Marsilje, Thomas H., Stephen G. Stroud, Christopher Blackburn, et al.. (2004). Synthesis and biological evaluation of imidazole-based small molecule antagonists of the melanocortin 4 receptor (MC4-R). Bioorganic & Medicinal Chemistry Letters. 14(14). 3721–3725. 27 indexed citations
7.
8.
Lippert, Éric, David Yowe, José-Ángel Gonzalo, et al.. (2003). Role of Regulator of G Protein Signaling 16 in Inflammation- Induced T Lymphocyte Migration and Activation. The Journal of Immunology. 171(3). 1542–1555. 63 indexed citations
9.
Yowe, David, Kan Yu, Thomas M. Wilkie, & Serguei Popov. (2002). RGS Domain: Production and Uses of Recombinant Protein. Methods in enzymology on CD-ROM/Methods in enzymology. 344. 647–657. 2 indexed citations
10.
Dorsch, Marion, Gang Zheng, David Yowe, et al.. (2002). Ectopic expression of Delta4 impairs hematopoietic development and leads to lymphoproliferative disease. Blood. 100(6). 2046–2055. 53 indexed citations
11.
Dorsch, Marion, Gang Zheng, David Yowe, et al.. (2002). Ectopic expression of Delta4 impairs hematopoietic development and leads to lymphoproliferative disease. Blood. 100(6). 2046–2055. 45 indexed citations
12.
Yowe, David, W. James Cook, & José-Carlos Gutierrez-Ramos. (2001). Microarrays for studying the host transcriptional response to microbial infection and for the identification of host drug targets. Microbes and Infection. 3(10). 813–821. 14 indexed citations
13.
Yowe, David, Nadine Weich, Mercy PrabhuDas, et al.. (2001). RGS18 is a myeloerythroid lineage-specific regulator of G-protein-signalling molecule highly expressed in megakaryocytes. Biochemical Journal. 359(1). 109–109. 47 indexed citations
14.
Yowe, David, Nadine Weich, Louis Poisson, et al.. (2001). RGS18 is a myeloerythroid lineage-specific regulator of G-protein-signalling molecule highly expressed in megakaryocytes. Biochemical Journal. 359(1). 109–118. 39 indexed citations
15.
Xu, Xin, Weizhong Zeng, Serguei Popov, et al.. (1999). RGS Proteins Determine Signaling Specificity of Gq-coupled Receptors. Journal of Biological Chemistry. 274(6). 3549–3556. 227 indexed citations
16.
17.
Hagen, Tory M., et al.. (1997). Mitochondrial decay in hepatocytes from old rats: Membrane potential declines, heterogeneity and oxidants increase. Proceedings of the National Academy of Sciences. 94(7). 3064–3069. 371 indexed citations
18.
Yowe, David, et al.. (1996). A minisatellite polymorphism in intron III of the barramundi (Lates calcarifer) growth hormone gene. Genome. 39(5). 934–940. 8 indexed citations
19.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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